| Yazarlar (3) |
Dr. Öğr. Üyesi Gizem Temelcan ERGENECOŞAR
Beykoz Üniversitesi, Türkiye |
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Yıldız Teknik Üniversitesi, Türkiye |
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Yıldız Teknik Üniversitesi, Türkiye |
| Özet |
| Traffic congestion is an unpreventable problem to avoid in a transportation network and it has negative effects on traffic accident, time wasting, traffic delay and safety problem. Besides, in transportation networks, drivers do not want to deal with traffic jam while traversing between specified origin-destination pair. Therefore, traffic assignment (TA) is imperative to improve traffic management, transportation safety, time, and cost savings. System Optimum Traffic Assignment Problem (SOTAP) is a kind of TA model which aims to minimize the total system travel time on the network, and satisfies the flow conservation constraints. To model the SOTAP more realistically, the imprecise parameters can be taken as fuzzy. Therefore, in this paper, we focus on converting the conventional SOTAP to a fuzzy quadratic programming problem (QPP) which is named System Optimum Fuzzy Traffic Assignment Problem (SOFTAP). Here … |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Socio-Economic Planning Sciences |
| Dergi ISSN | 0038-0121 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q2 |
| Makale Dili | İngilizce |
| Basım Tarihi | 11-2021 |
| Cilt No | 77 |
| DOI Numarası | 10.1016/j.seps.2021.101024 |
| Makale Linki | http://dx.doi.org/10.1016/j.seps.2021.101024 |